Abstract
The reverse engineering of machined parts requires sensing an existing part and producing a design (and perhaps a manufacturing process) for it. We have developed a reverse engineering system that has proven effective with a set of machined parts. This paper describes the system, presents some results, and discusses strategy for a new system.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
Allen, P.: Sensing and describing 3D structure, inProc. IEEE Int. Conf. Robotics and Automation, Institute of Electrical and Electronics Engineers, 1986, pp. 126–131.
Aloimonos, J. and Shulman, D.:Integration of Visual Modules An Extension of the Marr Paradigm, Academic Press, New York, NY, 1989.
Arman, F. and Aggarwal, J.: Model-based object recognition in dense range images — A review,ACM Computing Surveys 25(1) (1993), 5–43.
Besl, P. and Jain, R.: Three-dimensional object recognition,ACM Computing Surveys 17(1) (1985), 75–145.
Chen, Y. and Medioni, G.: Object modelling by registration of multiple range image,Int. J. Image and Vision Computing 10(3) (1992), 145–155.
Chen, Y. and Medioni, G.: Integrating multiple range images using triangulation, inImage Understanding Workshop, Defence Advanced Research Projects Agency, Software and Intelligent Systems Office, 1993, pp. 951–958.
Chen, Y. and Medioni, G.: Fitting a surface to 3D points using an inflating balloon model, 1994.
Hoppe, H., DeRose, T., Duchamp, T., McDonald, J., and Stuetzle, W.: Surface reconstruction from unorganized points,Computer Graphics, SIGGRAPH'92 26 (1992).
Hoppe, H., DeRose, T., Duchamp, T., McDonald, J., and Stuetzle, W.: Mesh optimization,Computer Graphics, SIGGRAPH'93 27 (1993).
Hoppe, H., DeRose, T., Duchamp, T., McDonald, J., and Stuetzle, W.: Piecewise smooth surface reconstruction,Computer Graphics, SIGGRAPH'94 (1994), to be published.
Hsieh, Y.: Reconstruction of Sculptured Surfaces Using Coordinate Measuring Machines, Master's thesis, University of Utah, 1993.
IMLIB staff. Imlib documentation: Image Processing User Commands, University of Utah, 1991.
IMLIB staff. zcedge (unix man page): Image Processing User Commands, University of Utah, 1991.
Karinthi, R. and Nau, D.: An algebraic approach to feature interactions,IEEE Trans. Pattern Analysis and Machine Intelligence 14(4) (1992), 469–484.
Marefat, M., Malhotra S., and Kashyap, R.: Object-oriented intelligent computerintegrated design, process planning, and inspection,IEEE Computer (1993), 54–65.
Motavalli, S. and Bidanda, B.: A part image reconstruction system for reverse engineering of design modifications,J. Manufacturing Syst. 10(5) (1991), 383–395.
Sarkar, B. and Menq, C.: Smooth-surface approximation and reverse engineering,Computer Aided Design 23(9) (1991), 623–628.
Stansfield, S.: Visually-aided tactile exploration, inProc. IEEE Int. Conf. Robotics and Automation, Inst. Electrical and Electronics Engineers, 1987, pp. 1487–1492.
Tsai, R.: A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf tv cameras and lenses, in G.H.L. Wolff and S. Shafer (eds),Radiometry — (Physics-Based Vision), Jones and Bartlett, 1992.
Van Thiel, M.: Feature Based Automated Part Inspection, Master's thesis, University of Utah, 1993.
Author information
Authors and Affiliations
Additional information
This work was supported by ARPA under ARO grant number DAAH04-93-G-0420, DARPA grant N00014-91-J-4123, NSF grant CDA 9024721, and a University of Utah Research Committee grant. All opinions, findings, conclusions or recommendations expressed in this document are those of the authors and do not necessarily reflect the views of the sponsoring agencies.
Rights and permissions
About this article
Cite this article
Sobh, T., Owen, J. A sensing strategy for the reverse engineering of machined parts. J Intell Robot Syst 14, 323–340 (1995). https://doi.org/10.1007/BF01258355
Received:
Accepted:
Issue Date:
DOI: https://doi.org/10.1007/BF01258355